Class separation is an important concept in machine learning and visual analytics. We address the analysis of class measures for both high-dimensional data its corresponding projections into 2D through dimensionality reduction (DR) methods. Although a plethora have been proposed, it difficult to compare between multiple datasets with different characteristics, measures, DR present ProSeCo, inte...